Blackstone Is Selling Picks and Shovels Into the AI Boom — and Getting a Lower Multiple for It
Earnings power accelerated 36% in Q3 while the shares sit 40% below their 2024 peak; management's answer is to hug the one part of the AI stack with 20-year contracts attached
BX · Earnings Call · 2026-10-22
The disconnect, marked to market
Blackstone's third quarter was, on the numbers, a very good quarter. Total revenue rose 36% year over year to $5.0B and 39% sequentially, and net income climbed 45% to $2.4B. Interest coverage sits at 19.4x, nearly double where it was a year ago. By any operating measure, the firm is accelerating. The stock is not. BX is 40.3% below its November 2024 peak of $199.05, 20.5% below its August 13 high, and down 7.1% over the last ninety sessions — a fresh leg down going into this print, not a stale one. Price to net income has compressed to 13.0x, down 33% year over year. Stephen Schwarzman put the tension plainly: “Over the past 2 years, while our shares are down meaningfully, our earnings have grown nearly 50%. With commensurate growth in our dividend.” — Stephen Allen Schwarzman, Chairman and Chief Executive Officer · 2026-10-22 That is the whole story in one line: a de-rating, not a deceleration. What matters for a reader today is whether the de-rating is about AI concentration risk — the question analysts asked four separate ways on this call — or about the real estate segment that still refuses to inflect."Long term contracted" is now the entire thesis
Watch what the language did. For several quarters Blackstone's AI story was told in the vocabulary of opportunity: AI infrastructure, shortage of compute, exposure to data centers. This quarter, the firm's single highest-ranked keyword is long term contracted — a defensive, structural phrase, not an offensive one. When the top of the keyword table shifts from what you own to how you own it, management is answering a bear case rather than pitching a bull case. And the bear case was loud. Asked about AI financing risk, Jonathan Gray leaned entirely on counterparty structure: “the fact that we wait till we have these long term contracts before we put the vast majority of capital on the ground that seems to be a very disciplined approach to deploying capital.” — Jonathan D. Gray CIMA, President and Chief Operating Officer · 2026-10-22 On concentration, he quantified it: roughly 7% of $1.4 trillion of AUM touches AI, and “the vast majority of that 7% is in data centers that have 15 to 20 year lease terms at initiation with 96% investment grade counterparties” — Jonathan D. Gray CIMA, President and Chief Operating Officer · 2026-10-22 averaging a $2.5 trillion market cap. Here is the contrast that makes this interesting. On the market's own tape, AI data center was one of the strongest themes of the trailing year — and is now one of the largest 30- and 90-day decliners, with 48 tickers down against 6 up. The same is true of data center capacity. Blackstone is leaning harder into the theme precisely as the tape rotates out of it. Its defence is that the physical bottleneck has not loosened: compute prices “are actually up 50% year-on-year” — Jonathan D. Gray CIMA, President and Chief Operating Officer · 2026-10-22 and data-center leasing is running at three times last year's level. Schwarzman's framing was blunt: “Seldom my career have I seen such a supply constrained market.” — Stephen Allen Schwarzman, Chairman and Chief Executive Officer · 2026-10-22 The genuinely novel argument on this call was Gray's — that compute is on the same path aircraft took to becoming an investment-grade asset:That is an argument about future collateral recognition, i.e. a case for spreads to compress, not a case about today's cash flows. Worth flagging as a claim, not a fact.When you look at the airline business, you know, lending against aircraft is an investment grade business, not because Spirit Airlines or an emerging market airline has great credit themselves, but it is because of the shortage of commercial aviation in the world. Today, when it comes to compute, be it data centers or chips, people are not putting much value on the underlying assets.